H-1B1 Singapore Visa Data Scientist Jobs
Data Scientist roles qualify for H-1B1 Singapore visa sponsorship under the U.S.-Singapore Free Trade Agreement, with no lottery and a 5,400-visa annual cap that has never been exhausted. Employers file the Labor Condition Application directly with DOL, and you apply at the U.S. Embassy in Singapore, bypassing USCIS entirely.
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What will customers want from Amazon Devices one, two, or three years from now? As a Data Scientist II on our Devices forecasting team, you will answer that question by building econometric and machine learning models that project long-term demand, assess the incrementality of new products, and quantify willingness to pay for specific features. Your analysis will directly shape portfolio decisions, helping product managers decide what to build next. This is a team that is investing in AI to accelerate how science informs business strategy, making now a particularly exciting time to join.
Key job responsibilities
- Build and validate econometric and machine learning models that generate long-term demand forecasts for Amazon Devices, selecting the right methodology based on data characteristics and business context.
- Assess the incrementality of new products and quantify willingness to pay for product features, translating model outputs into clear narratives that help product managers adjust their portfolio strategy.
- Collaborate with product managers, engineers, and business stakeholders to scope analytical projects, define metrics, and identify the data requirements needed to answer ambiguous forecasting questions.
- Communicate findings to technical and non-technical audiences through clear documentation, effective visualizations, and well-structured presentations that drive informed decisions.
- Mentor less experienced data scientists through code reviews, knowledge sharing, and active participation in scientific discussions and team planning.
A day in the life
You might spend your morning refining a demand forecast model, testing how a new product feature variable improves prediction accuracy. After lunch, you could be walking product managers through your incrementality analysis and aligning on what the numbers mean for their roadmap. Later, you might review a teammate's willingness-to-pay study or experiment with an AI-based approach to accelerate your modeling pipeline. Your work moves between deep independent analysis and collaborative sessions where you translate complex results into actionable recommendations.
About the team
Our team owns long-term forecasting and product analytics for Amazon Devices. We build the science that tells the story of where customer demand is headed and what drives it. You will work alongside scientists, engineers, and product managers who value rigorous analysis and practical impact. We are currently expanding our use of AI to accelerate how we deliver insights, and we are looking for people who are curious, collaborative, and ready to help shape that direction.
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
What will customers want from Amazon Devices one, two, or three years from now? As a Data Scientist II on our Devices forecasting team, you will answer that question by building econometric and machine learning models that project long-term demand, assess the incrementality of new products, and quantify willingness to pay for specific features. Your analysis will directly shape portfolio decisions, helping product managers decide what to build next. This is a team that is investing in AI to accelerate how science informs business strategy, making now a particularly exciting time to join.
Key job responsibilities
- Build and validate econometric and machine learning models that generate long-term demand forecasts for Amazon Devices, selecting the right methodology based on data characteristics and business context.
- Assess the incrementality of new products and quantify willingness to pay for product features, translating model outputs into clear narratives that help product managers adjust their portfolio strategy.
- Collaborate with product managers, engineers, and business stakeholders to scope analytical projects, define metrics, and identify the data requirements needed to answer ambiguous forecasting questions.
- Communicate findings to technical and non-technical audiences through clear documentation, effective visualizations, and well-structured presentations that drive informed decisions.
- Mentor less experienced data scientists through code reviews, knowledge sharing, and active participation in scientific discussions and team planning.
A day in the life
You might spend your morning refining a demand forecast model, testing how a new product feature variable improves prediction accuracy. After lunch, you could be walking product managers through your incrementality analysis and aligning on what the numbers mean for their roadmap. Later, you might review a teammate's willingness-to-pay study or experiment with an AI-based approach to accelerate your modeling pipeline. Your work moves between deep independent analysis and collaborative sessions where you translate complex results into actionable recommendations.
About the team
Our team owns long-term forecasting and product analytics for Amazon Devices. We build the science that tells the story of where customer demand is headed and what drives it. You will work alongside scientists, engineers, and product managers who value rigorous analysis and practical impact. We are currently expanding our use of AI to accelerate how we deliver insights, and we are looking for people who are curious, collaborative, and ready to help shape that direction.
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
See all 245+ H-1B1 Singapore Visa Data Scientist Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation tied to a specific academic discipline. A Data Scientist role must map to a degree in statistics, computer science, mathematics, or a directly related field. A general business degree won't satisfy the requirement even if you've been doing data work for years.
Use OFLC Wage Search before salary negotiations
Your employer's Labor Condition Application must certify a wage at or above the DOL prevailing wage for Data Scientists in that metro area. Pull the Level I through Level IV wage tiers from OFLC Wage Search before any offer conversation so you know the floor before they name a number.
Target employers already filing H-1B1 LCAs
Search Migrate Mate to identify employers with verified H-1B1 Singapore LCA filing history for data and analytics roles. These companies have already navigated the DOL certification process and don't need internal education on how the visa works.
Confirm the SOC code on your job offer
Employers assign a Standard Occupational Classification code when filing the LCA. For Data Scientist roles, insist on SOC 15-2051 rather than a broader software developer code. The wrong SOC code can create a prevailing wage mismatch that delays or complicates your consular application.
Prepare an O*NET-aligned job duties summary
Consular officers assess whether your role genuinely requires a theoretical and practical application of highly specialized knowledge. Pull the Data Scientist occupation profile from O*NET and align your offer letter's duties language to it before your Embassy appointment in Singapore.
Time your application around two-year renewal windows
H-1B1 visa is issued in one-year increments at the consulate but your employer can request two-year validity on the LCA. Confirm your employer files for the full two-year period so you avoid annual return trips to the Embassy while you're building tenure in a data role.
Frequently Asked Questions
Does a Data Scientist role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Data Scientist positions qualify because they require at least a bachelor's degree in a specific field such as statistics, computer science, or applied mathematics. The role must genuinely require theoretical and practical application of highly specialized knowledge. Roles where any bachelor's degree is acceptable regardless of field would not satisfy the specialty occupation standard under H-1B1 visa.
How does H-1B1 Singapore compare to H-1B for Data Scientist roles?
The H-1B1 Singapore visa has a 5,400-visa annual cap that has never been exhausted, so there's no lottery and no random selection risk. H-1B visa has an 85,000-visa cap subject to an oversubscribed lottery most years. H-1B1 is also processed at the U.S. Embassy in Singapore rather than through USCIS, which typically means a faster path to starting work once your employer's Labor Condition Application is certified by DOL.
How do I find employers who will sponsor an H-1B1 Singapore visa for a Data Scientist position?
Search Migrate Mate to find employers with active H-1B1 Singapore LCA filing history for data science and analytics roles. Many companies default to H-1B sponsorship workflows internally, so targeting employers who have already processed H-1B1 applications saves you from having to educate hiring teams or legal departments about how the visa works during the offer stage.
Can my employer sponsor H-1B1 while I'm still in Singapore before relocating?
Yes. The H-1B1 Singapore process is consular-based, meaning your employer files the Labor Condition Application with DOL and you apply for the visa stamp at the U.S. Embassy in Singapore before you travel. You don't need to already be in the United States. Once the Embassy approves your application, you enter the U.S. in H-1B1 status on your first day of work.
What documentation does a Data Scientist need for the H-1B1 consular interview?
You'll need your certified Labor Condition Application, a support letter from your employer detailing your Data Scientist duties, educational transcripts and degree certificates confirming your relevant field of study, and DS-160 confirmation. Because the specialty occupation claim rests on the degree-to-role connection, bring documentation showing how your academic background directly applies to the data science work you'll be performing.